run_master <- function(
input_matrix = cbind(
expression_data(0, photoperiodic_only = FALSE)$LD,
expression_data(0, photoperiodic_only = FALSE)$SD,
expression_data(0, photoperiodic_only = FALSE)$EQ
),
deepSplit_degree = 3,
k = 14,
output_dir
){
## Run the apclustering that defines the finest clusters first
res <- run_aggcluster(input_matrix = input_matrix)
aggcluster_result <- res$aggcluster
gene_IDs <- res$identifiers
expression_matrix <- input_matrix
run_cluster(
aggcluster_object = aggcluster_result,
gene_IDs = gene_IDs,
expression_matrix = expression_matrix,
dir = output_dir,
deepsplit_degree = deepSplit_degree,
k = k,
skip_additional_heatmaps = TRUE
)
}
# run_master(
# input_matrix = cbind(
# expression_data(0, photoperiodic_only = TRUE)$LD,
# expression_data(0, photoperiodic_only = TRUE)$SD,
# expression_data(0, photoperiodic_only = TRUE)$EQ
# ),
# deepSplit_degree = 2,
# k = 14,
# output_dir = "data-raw/level2/"
# )
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